Imperial College London
Alternate

Dr Matthew R. Lewis

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Honorary Senior Research Officer
 
 
 
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Contact

 

matthew.lewis

 
 
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Location

 

660Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Lu:2023:10.1159/000525911,
author = {Lu, H and George, J and Eslam, M and Villanueva, A and Bolondi, L and Reeves, HL and McCain, M and Chambers, E and Ward, C and Sartika, D and Sands, C and Maslen, L and Lewis, MR and Ramaswami, R and Sharma, R},
doi = {10.1159/000525911},
journal = {Liver Cancer},
pages = {19--31},
title = {Discriminatory changes in circulating metabolites as a predictor of hepatocellular cancer in patients with MAFLD},
url = {http://dx.doi.org/10.1159/000525911},
volume = {12},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Introduction: The burden of metabolic (dysfunction) associated fatty liver disease (MAFLD) is rising mirrored by an increase in hepatocellular cancer (HCC). MAFLD and its sequelae are characterized by perturbations in lipid handling, inflammation, and mitochondrial damage. The profile of circulating lipid and small molecule metabolites with the development of HCC is poorly characterized in MAFLD and could be used in future studies as a biomarker for HCC. Methods: We assessed the profile of 273 lipid and small molecule metabolites by ultra-performance liquid chromatography coupled to high-resolution mass spectrometry in serum from patients with MAFLD (n = 113) and MAFLD-associated HCC (n = 144) from six different centers. Regression models were used to identify a predictive model of HCC. Results: Twenty lipid species and one metabolite, reflecting changes in mitochondrial function and sphingolipid metabolism, were associated with the presence of cancer on a background of MAFLD with high accuracy (AUC 0.789, 95% CI: 0.721–0.858), which was enhanced with the addition of cirrhosis to the model (AUC 0.855, 95% CI: 0.793–0.917). In particular, the presence of these metabolites was associated with cirrhosis in the MAFLD subgroup (p < 0.001). When considering the HCC cohort alone, the metabolic signature was an independent predictor of overall survival (HR 1.42, 95% CI: 1.09–1.83, p < 0.01). Conclusion: These exploratory findings reveal a metabolic signature in serum which is capable of accurately detecting the presence of HCC on a background of MAFLD. This unique serum signature will be taken forward for further investigation of diagnostic performance as biomarker of early stage HCC in patients with MAFLD in the future.
AU  - Lu,H
AU  - George,J
AU  - Eslam,M
AU  - Villanueva,A
AU  - Bolondi,L
AU  - Reeves,HL
AU  - McCain,M
AU  - Chambers,E
AU  - Ward,C
AU  - Sartika,D
AU  - Sands,C
AU  - Maslen,L
AU  - Lewis,MR
AU  - Ramaswami,R
AU  - Sharma,R
DO  - 10.1159/000525911
EP  - 31
PY  - 2023///
SN  - 2235-1795
SP  - 19
TI  - Discriminatory changes in circulating metabolites as a predictor of hepatocellular cancer in patients with MAFLD
T2  - Liver Cancer
UR  - http://dx.doi.org/10.1159/000525911
UR  - https://www.karger.com/Article/FullText/525911
UR  - http://hdl.handle.net/10044/1/100243
VL  - 12
ER  -
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